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Player stats 25/26

Wolves v Aston Villa

Your slip follows you between games.

How often each Wolves and Aston Villa player has hit the lines bookmakers price — 1+ shots on target, 2+ shots, 1+ fouls, a card — across their recent matches. How hit rates work ↓

Going into Wolves v Aston Villa: Mateus Mané (Wolves) leads the home side for 1+ shots on target — 6 of 10 (60%); Ollie Watkins (Aston Villa) tops the visitors on 7 of 10 (70%). Raw hit rates from recent matches, not odds.

Window
Last
What a window counts

Hit rates count the most recent completed games, newest first — reaching back into earlier seasons when the current one is short, and into games for a previous club, including in another league we cover.

Market
Line
Team
How hit rates and windows work

Each row's hit rate is the share of a player's games in the window where the bet would have landed. These are 26/27 figures from completed matches: Last N is their last N games; Season is their whole 26/27; H2H is only games against this opponent.

Wolves
Tolu ArokodareF 100%10 of 10 Pro 🔒
Mateus ManéF 80%8 of 10 Pro 🔒
Yerson MosqueraD 70%7 of 10 Pro 🔒
Adam ArmstrongF 70%7 of 10 Pro 🔒
Hugo BuenoM 60%6 of 10 Pro 🔒
Aston Villa
Ollie WatkinsF 100%10 of 10 Pro 🔒
Morgan RogersM 100%10 of 10 Pro 🔒
Emiliano BuendíaM 90%9 of 10 Pro 🔒
Ian MaatsenD 70%7 of 10 Pro 🔒
Leon BaileyF 60%6 of 10 Pro 🔒
Matty CashD 60%6 of 10 Pro 🔒

Wolves
Mateus ManéF 60%6 of 10 Pro 🔒
Aston Villa
Morgan RogersM 90%9 of 10 Pro 🔒
Ollie WatkinsF 60%6 of 10 Pro 🔒

Wolves
Mateus ManéF 60%6 of 10 Pro 🔒
Aston Villa
Ollie WatkinsF 70%7 of 10 Pro 🔒
Morgan RogersM 60%6 of 10 Pro 🔒

Wolves
João GomesM 80%8 of 10 Pro 🔒
Yerson MosqueraD 70%7 of 10 Pro 🔒
Mateus ManéF 70%7 of 10 Pro 🔒
Angel GomesM 70%7 of 10 Pro 🔒
AndréM 60%6 of 10 Pro 🔒
Santiago BuenoD 60%6 of 10 Pro 🔒
Aston Villa
Matty CashD 90%9 of 10 Pro 🔒
Emiliano BuendíaM 80%8 of 10 Pro 🔒
Ollie WatkinsF 60%6 of 10 Pro 🔒
Douglas LuizM 60%6 of 10 Pro 🔒
Morgan RogersM 60%6 of 10 Pro 🔒
Ian MaatsenD 60%6 of 10 Pro 🔒

Wolves
Yerson MosqueraD 90%9 of 10 Pro 🔒
Mateus ManéF 90%9 of 10 Pro 🔒
Hugo BuenoM 80%8 of 10 Pro 🔒
Rodrigo GomesD 60%6 of 10 Pro 🔒
AndréM 60%6 of 10 Pro 🔒
Aston Villa
Emiliano BuendíaM 80%8 of 10 Pro 🔒
Morgan RogersM 80%8 of 10 Pro 🔒
Ezri KonsaD 70%7 of 10 Pro 🔒
Amadou OnanaM 70%7 of 10 Pro 🔒
Emiliano MartínezG 60%6 of 10 Pro 🔒
Matty CashD 60%6 of 10 Pro 🔒
Ian MaatsenD 60%6 of 10 Pro 🔒

Wolves
Yerson MosqueraD 70%7 of 10 Pro 🔒
Mateus ManéF 70%7 of 10 Pro 🔒
Aston Villa
Morgan RogersM 60%6 of 10 Pro 🔒

Wolves
Mateus ManéF 60%6 of 10 Pro 🔒
Aston Villa
No Aston Villa player in this window.

Wolves
Yerson MosqueraD 100%10 of 10 Pro 🔒
João GomesM 100%10 of 10 Pro 🔒
Hugo BuenoM 90%9 of 10 Pro 🔒
AndréM 90%9 of 10 Pro 🔒
Mateus ManéF 80%8 of 10 Pro 🔒
Santiago BuenoD 70%7 of 10 Pro 🔒
Rodrigo GomesD 60%6 of 10 Pro 🔒
Jackson TchatchouaM 60%6 of 10 Pro 🔒
Aston Villa
Matty CashD 80%8 of 10 Pro 🔒
Amadou OnanaM 80%8 of 10 Pro 🔒
Ian MaatsenD 80%8 of 10 Pro 🔒
Douglas LuizM 70%7 of 10 Pro 🔒
Morgan RogersM 70%7 of 10 Pro 🔒
Emiliano BuendíaM 60%6 of 10 Pro 🔒
Ezri KonsaD 60%6 of 10 Pro 🔒

Wolves
Hugo BuenoM 80%8 of 10 Pro 🔒
João GomesM 80%8 of 10 Pro 🔒
AndréM 70%7 of 10 Pro 🔒
Yerson MosqueraD 60%6 of 10 Pro 🔒
Aston Villa
Douglas LuizM 70%7 of 10 Pro 🔒
Amadou OnanaM 60%6 of 10 Pro 🔒

Wolves
João GomesM 80%8 of 10 Pro 🔒
Aston Villa
No Aston Villa player in this window.

Wolves
No Wolves player in this window.
Aston Villa
Ollie WatkinsF 40%4 of 10 Stats only

Wolves
No Wolves player in this window.
Aston Villa
Emiliano MartínezG 60%6 of 10 Stats only

🔒 Model is the paid layer — the model's +EV verdict on each line, per fixture in the tool. The hit rates here are free.

Tick players above to build your own slip — it follows you across games, and you can share it from the tray below.

New to these markets? The player stats guide explains what each line means and how to read a hit rate, and the glossary defines the terms.

Match officials
Craig Pawson refereed this match 3.94cards a gameleague 4.08 85games
Craig Pawson's card record

Form is only half the picture. A player hitting a line 5 of 5 can still be poor value if the true chance is lower than the streak suggests. The SharpXI tool pairs every one of these with the model's real probability — and flags the runs it doesn't back, so you're not chasing a streak about to regress. That honest verdict is the layer we're building into the tool.

Hit rates are raw recent form from public match data, for context — not a prediction or a guarantee. 18+ — please gamble responsibly.